Large-scale policies and programs, such as violent crime reduction initiatives and economic development projects, certainly have a substantial influence on population health. Remarkably, the health effects of most policies and programs remain unstudied, particularly those not designed to influence health. Health Impact Assessments (HIAs) are sometimes implemented in an attempt to predict the health effects of a policy before it is adopted. However, actual assessment of the health effects of policies post-implementation is surprisingly uncommon. In the rare circumstance that health effects are studied post-implementation, the choice of design relies on broad guidelines and a new study is mobilized for each assessment. There is thus a critical need for a rigorous and cost efficient system that can be applied regularly to assess the effects of policies and programs on a wide range of health outcomes. The first contribution of the proposed research will be establishment of a new system to determine the health and disparities impacts of policies and programs. The system will comprise a web-based simulation generator to identify the optimal study design and analysis, and a large database of over 10 years of population health data that can be utilized to estimate health effects. The second contribution of the proposed research will be application of this system to assess the health and disparities effects of criminal justice policies and programs in California: specifically a violence program implemented in Oakland, and the criminal justice realignment that was mandated statewide. The establishment of the system overall will be significant because it will revolutionize researchers'ability to regularly and rigorously assess post-implementation health and disparities effects of policies and programs at low cost. The system will be innovative because it challenges the paradigm that pre-implementation HIAs are sufficient, will introduce a new approach to studying policy health effects that is cost efficient, and will incorporate the most rigorous tools from the field of biostatistics (i.e., simulations and causal methods). The web-based simulation generator is significant because it will improve the quality of scientific knowledge on health impacts, and innovative because it moves beyond the current broad guidelines and allows rigorous quantitative assessment of which design and analysis approach is optimal for each program. Preliminary analyses demonstrate the important insight gained by using simulation to optimize study design and analysis decisions. The application of the system is significant because it will provide information about the health and disparities impacts of major changes in criminal justice policies and programs that would otherwise remain unknown. This project overall will have a substantial health impact by improving fundamental understanding of how policies and programs influence health and disparities, reducing the cost while improving the quality of assessments of health effects, and providing the evidence base to inform modification of current policies and design of future policies to protect health and reduce health disparities.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
NIH Director’s New Innovator Awards (DP2)
Project #
1DP2HD080350-01
Application #
8569995
Study Section
Special Emphasis Panel (ZRG1-MOSS-C (56))
Program Officer
Bures, Regina M
Project Start
2013-09-19
Project End
2018-08-31
Budget Start
2013-09-19
Budget End
2018-08-31
Support Year
1
Fiscal Year
2013
Total Cost
$2,352,525
Indirect Cost
$852,525
Name
University of California Berkeley
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
124726725
City
Berkeley
State
CA
Country
United States
Zip Code
94704
Goin, Dana E; Rudolph, Kara E; Ahern, Jennifer (2018) Predictors of firearm violence in urban communities: A machine-learning approach. Health Place 51:61-67
Matthay, Ellicott C; Farkas, Kriszta; Skeem, Jennifer et al. (2018) Exposure to Community Violence and Self-harm in California: A Multilevel, Population-based, Case-Control Study. Epidemiology 29:697-706
Ahern, Jennifer; Matthay, Ellicott C; Goin, Dana E et al. (2018) Acute Changes in Community Violence and Increases in Hospital Visits and Deaths From Stress-responsive Diseases. Epidemiology 29:684-691
Galin, Jessica; Abrams, Barbara; Leonard, Stephanie A et al. (2017) Living in Violent Neighbourhoods is Associated with Gestational Weight Gain Outside the Recommended Range. Paediatr Perinat Epidemiol 31:37-46
Matthay, Ellicott C; Galin, Jessica; Rudolph, Kara E et al. (2017) In-State and Interstate Associations Between Gun Shows and Firearm Deaths and Injuries: A Quasi-experimental Study. Ann Intern Med 167:837-844
Goin, Dana E; Rudolph, Kara E; Ahern, Jennifer (2017) Impact of drought on crime in California: A synthetic control approach. PLoS One 12:e0185629
Matthay, Ellicott C; Galin, Jessica; Ahern, Jennifer (2017) Changing Patterns in Rates and Means of Suicide in California, 2005 to 2013. Am J Public Health 107:427-429
Ahern, Jennifer; Colson, K Ellicott; Margerson-Zilko, Claire et al. (2016) Predicting the Population Health Impacts of Community Interventions: The Case of Alcohol Outlets and Binge Drinking. Am J Public Health 106:1938-1943
Balzer, Laura; Ahern, Jennifer; Galea, Sandro et al. (2016) Estimating Effects with Rare Outcomes and High Dimensional Covariates: Knowledge is Power. Epidemiol Methods 5:1-18
Rudolph, Kara E; Colson, K Ellicott; Stuart, Elizabeth A et al. (2016) Optimally combining propensity score subclasses. Stat Med 35:4937-4947

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